Lotus Technology (LOT) Accumulated Expenses (2022 - 2026)
Lotus Technology's Accumulated Expenses was $215.52 million in the quarter ended Jun 30, 2026, down 33.2% from $322.41 million a year earlier.
Lotus Technology (LOT) Accumulated Expenses (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at Lotus Technology came in at $251.36 million, down 35.5% from the prior year.
- Accumulated Expenses shows a three-year compound annual growth rate of -8.0% (years ended Dec 2022 to Dec 2025).
- In earlier years, Accumulated Expenses was $389.79 million in the year ended Dec 31, 2024 (-7.1%), $419.42 million in the year ended Dec 31, 2023 (+29.7%) and $323.3 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Accumulated Expenses in data going back to the quarter ended Dec 31, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn |
| 10 | Lotus Technology | 166.94 Mn | -125.02 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 352.41 Mn |
| Dec 31, 2025 | 464.89 Mn |
| Sep 30, 2025 | 283.27 Mn |
| Jun 30, 2025 | 556.62 Mn |
| Mar 31, 2025 | 391.49 Mn |
| Dec 31, 2024 | 389.79 Mn |
| Sep 30, 2024 | 366.76 Mn |
| Jun 30, 2024 | 39,000.00 |
| Mar 31, 2024 | 412.91 Mn |
| Dec 31, 2023 | 710.11 Mn |
| Dec 31, 2022 | 506.54 Mn |
Lotus Technology Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LOT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LOT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LOT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();